| pubmed-article:15073102 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0006142 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0086418 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C1179435 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C2698872 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0038952 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0752248 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0008902 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0002045 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C1705248 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C1548799 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C1524073 | lld:lifeskim |
| pubmed-article:15073102 | lifeskim:mentions | umls-concept:C0449432 | lld:lifeskim |
| pubmed-article:15073102 | pubmed:issue | 7 | lld:pubmed |
| pubmed-article:15073102 | pubmed:dateCreated | 2004-4-9 | lld:pubmed |
| pubmed-article:15073102 | pubmed:abstractText | Selection of treatment options with the highest likelihood of successful outcome for individual breast cancer patients is based to a large degree on accurate classification into subgroups with poor and good prognosis reflecting a different probability of disease recurrence and survival after therapy. Here we propose a breast cancer classification algorithm taking into account three main prognostic features determined at the time of diagnosis: estrogen receptor (ER) status; lymph node (LN) status; and gene expression signatures associated with distinct therapy outcome. | lld:pubmed |
| pubmed-article:15073102 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15073102 | pubmed:language | eng | lld:pubmed |
| pubmed-article:15073102 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15073102 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:15073102 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15073102 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15073102 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:15073102 | pubmed:month | Apr | lld:pubmed |
| pubmed-article:15073102 | pubmed:issn | 1078-0432 | lld:pubmed |
| pubmed-article:15073102 | pubmed:author | pubmed-author:GlinskiiAnna... | lld:pubmed |
| pubmed-article:15073102 | pubmed:author | pubmed-author:GlinskyGennad... | lld:pubmed |
| pubmed-article:15073102 | pubmed:author | pubmed-author:HigashiyamaTa... | lld:pubmed |
| pubmed-article:15073102 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:15073102 | pubmed:day | 1 | lld:pubmed |
| pubmed-article:15073102 | pubmed:volume | 10 | lld:pubmed |
| pubmed-article:15073102 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:15073102 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:15073102 | pubmed:pagination | 2272-83 | lld:pubmed |
| pubmed-article:15073102 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:meshHeading | pubmed-meshheading:15073102... | lld:pubmed |
| pubmed-article:15073102 | pubmed:year | 2004 | lld:pubmed |
| pubmed-article:15073102 | pubmed:articleTitle | Classification of human breast cancer using gene expression profiling as a component of the survival predictor algorithm. | lld:pubmed |
| pubmed-article:15073102 | pubmed:affiliation | Sidney Kimmel Cancer Center, San Diego, California 92121, USA. gglinsky@skcc.org | lld:pubmed |
| pubmed-article:15073102 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:15073102 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
| pubmed-article:15073102 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:15073102 | lld:pubmed |
